Generate Python docs from pytorch/pytorch@d65834d

Author: pytorchbot

docs/master/__config__.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
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-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
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docs/master/_modules/index.html

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-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/__config__.html

@@ -192,7 +192,7 @@
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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_jit_internal.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lobpcg.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lowrank.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 
@@ -567,7 +567,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">U</span><span class="p">,</span> <span class="n">S</span><span class="p">,</span> <span class="n">V</span>
 
 
-<div class="viewcode-block" id="pca_lowrank"><a class="viewcode-back" href="../../generated/torch.pca_lowrank.html#torch.pca_lowrank">[docs]</a><span class="k">def</span> <span class="nf">pca_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">center</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="k">def</span> <span class="nf">pca_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">q</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">center</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
                 <span class="n">niter</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]:</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Performs linear Principal Component Analysis (PCA) on a low-rank</span>
 <span class="sd">    matrix, batches of such matrices, or sparse matrix.</span>
@@ -668,7 +668,7 @@ <h1>Source code for torch._lowrank</h1><div class="highlight"><pre>
         <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="n">M</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="n">C</span> <span class="o">=</span> <span class="n">A</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">dim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,),</span> <span class="n">keepdim</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-        <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span> <span class="o">-</span> <span class="n">C</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span></div>
+        <span class="k">return</span> <span class="n">_svd_lowrank</span><span class="p">(</span><span class="n">A</span> <span class="o">-</span> <span class="n">C</span><span class="p">,</span> <span class="n">q</span><span class="p">,</span> <span class="n">niter</span><span class="o">=</span><span class="n">niter</span><span class="p">,</span> <span class="n">M</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
 </pre></div>
 
              </article>

docs/master/_modules/torch/_tensor.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 
@@ -593,7 +593,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
         <span class="c1"># All strings are unicode in Python 3.</span>
         <span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_tensor_str</span><span class="o">.</span><span class="n">_str</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
 
-<div class="viewcode-block" id="Tensor.backward"><a class="viewcode-back" href="../../generated/torch.Tensor.backward.html#torch.Tensor.backward">[docs]</a>    <span class="k">def</span> <span class="nf">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">retain_graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">create_graph</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+    <span class="k">def</span> <span class="nf">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">retain_graph</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">create_graph</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Computes the gradient of current tensor w.r.t. graph leaves.</span>
 
 <span class="sd">        The graph is differentiated using the chain rule. If the tensor is</span>
@@ -643,7 +643,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
                 <span class="n">retain_graph</span><span class="o">=</span><span class="n">retain_graph</span><span class="p">,</span>
                 <span class="n">create_graph</span><span class="o">=</span><span class="n">create_graph</span><span class="p">,</span>
                 <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="p">,</span> <span class="n">retain_graph</span><span class="p">,</span> <span class="n">create_graph</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span></div>
+        <span class="n">torch</span><span class="o">.</span><span class="n">autograd</span><span class="o">.</span><span class="n">backward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gradient</span><span class="p">,</span> <span class="n">retain_graph</span><span class="p">,</span> <span class="n">create_graph</span><span class="p">,</span> <span class="n">inputs</span><span class="o">=</span><span class="n">inputs</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="nf">register_hook</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hook</span><span class="p">):</span>
         <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Registers a backward hook.</span>

docs/master/_modules/torch/_tensor_str.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_utils.html

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-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
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docs/master/_modules/torch/_vmap_internals.html

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-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/autograd.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/autograd/anomaly_mode.html

@@ -192,7 +192,7 @@
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-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/autograd/function.html

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     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
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docs/master/_modules/torch/autograd/functional.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/autograd/grad_mode.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git932d092 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>
 
 
@@ -474,7 +474,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="k">raise</span> <span class="ne">NotImplementedError</span>
 
 
-<div class="viewcode-block" id="no_grad"><a class="viewcode-back" href="../../../generated/torch.no_grad.html#torch.no_grad">[docs]</a><span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<span class="k">class</span> <span class="nc">no_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that disabled gradient calculation.</span>
 
 <span class="sd">    Disabling gradient calculation is useful for inference, when you are sure</span>
@@ -518,7 +518,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
+        <span class="n">torch</span><span class="o">.</span><span class="n">set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
 
 
 <span class="k">class</span> <span class="nc">enable_grad</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
@@ -564,7 +564,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
 
 
-<span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<div class="viewcode-block" id="set_grad_enabled"><a class="viewcode-back" href="../../../generated/torch.set_grad_enabled.html#torch.set_grad_enabled">[docs]</a><span class="k">class</span> <span class="nc">set_grad_enabled</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that sets gradient calculation to on or off.</span>
 
 <span class="sd">    ``set_grad_enabled`` will enable or disable grads based on its argument :attr:`mode`.</span>
@@ -610,10 +610,10 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="k">pass</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span>
+        <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
 
 
-<div class="viewcode-block" id="inference_mode"><a class="viewcode-back" href="../../../generated/torch.inference_mode.html#torch.inference_mode">[docs]</a><span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that enables or disables inference mode</span>
 
 <span class="sd">    InferenceMode is a new context manager analogous to :class:`~no_grad`</span>
@@ -665,7 +665,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_InferenceMode</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span></div>
+        <span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span>
 </pre></div>
 
              </article>

docs/master/_modules/torch/autograd/gradcheck.html

@@ -192,7 +192,7 @@
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd65834d ) &#x25BC</a>
     </div>